Optimal supplier choice with discounting
B Goldengorin,
J Keane,
V Kuzmenko and
M K-S Tso ()
Additional contact information
B Goldengorin: University of Groningen
J Keane: University of Manchester
V Kuzmenko: Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine
M K-S Tso: University of Manchester
Journal of the Operational Research Society, 2011, vol. 62, issue 4, 690-699
Abstract:
Abstract This paper investigates a model for pricing the demand for a set of goods when suppliers operate discount schedules based on total business value. We formulate the buyers's decision problem as a mixed binary integer program, which is a generalization of the capacitated facility location problem (CFLP). A branch and bound (BnB) procedure using Lagrangean relaxation and subgradient optimization is developed for solving large-scale problems that can arise when suppliers’ discount schedules contain multiple price breaks. Results of computer trials on specially adapted large benchmark instances of the CFLP confirm that a sub-gradient optimization procedure based on Shor and Zhurbenko's r-algorithm, which employs a space dilation in the direction of the difference between two successive subgradients, can be used efficiently for solving the dual problem at any node of the BnB tree.
Keywords: allocation; decision support systems; integer programming; location (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:pal:jorsoc:v:62:y:2011:i:4:d:10.1057_jors.2009.164
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DOI: 10.1057/jors.2009.164
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